Machine learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets
出版年份 2019 全文链接
标题
Machine learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets
作者
关键词
-
出版物
Science Advances
Volume 5, Issue 4, Pages eaau6792
出版商
American Association for the Advancement of Science (AAAS)
发表日期
2019-04-27
DOI
10.1126/sciadv.aau6792
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Machine learning for crystal identification and discovery
- (2018) Matthew Spellings et al. AICHE JOURNAL
- Machine learning in cardiovascular medicine: are we there yet?
- (2018) Khader Shameer et al. HEART
- Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments
- (2018) Fang Ren et al. Science Advances
- A material point method for thin shells with frictional contact
- (2018) Qi Guo et al. ACM TRANSACTIONS ON GRAPHICS
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- Machine learning phases of matter
- (2017) Juan Carrasquilla et al. Nature Physics
- Disconnecting structure and dynamics in glassy thin films
- (2017) Daniel M. Sussman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Achievement of Sustained Net Plasma Heating in a Fusion Experiment with the Optometrist Algorithm
- (2017) E. A. Baltz et al. Scientific Reports
- Deep learning for finance: deep portfolios
- (2016) J. B. Heaton et al. APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Machine-learning-assisted materials discovery using failed experiments
- (2016) Paul Raccuglia et al. NATURE
- Relationship between local structure and relaxation in out-of-equilibrium glassy systems
- (2016) Samuel S. Schoenholz et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods
- (2015) E. D. Cubuk et al. PHYSICAL REVIEW LETTERS
- A review of origami applications in mechanical engineering
- (2015) Nicholas Turner et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
- Searching for exotic particles in high-energy physics with deep learning
- (2014) P. Baldi et al. Nature Communications
- Folding and crumpling adaptive sheets
- (2013) Rahul Narain et al. ACM TRANSACTIONS ON GRAPHICS
- Galaxy Zoo: reproducing galaxy morphologies via machine learning★
- (2010) Manda Banerji et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Direct observation of the temporal and spatial dynamics during crumpling
- (2010) Hillel Aharoni et al. NATURE MATERIALS
- VORO++: A three-dimensional Voronoi cell library in C++
- (2009) Chris H. Rycroft CHAOS
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now